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WBT - Explainability and Interpretability of AI
(ITEM_73166)
0,5 hour
Access: 365 Days
WEB BASED TRAINING (WBT)
Multiple Languages
Objectives
The Participant:
- Knows the importance of explainability in the AI context.
- Understands the system’s output and the conditions that led to a particular output.
- Gets an overview of the main explainability techniques that can be used to explain the output of AI systems to achieve full transparency.
Content
- Motivations for explainability.
- Fully interpretable ML models.
- Global and local explainability methods.
- Special techniques for NLP and computer vision.
Target Group
- All employees.
Prerequisites
- Some knowledge of machine learning.